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Buzz Analytics

A web-based research of customer opinions on a product along features and attributes

Buzz Analytics

Web-based research of customer opinions on product features and attributes

Intro to
Buzz Analytics

What it does

Buzz Analytics deploys the latest AI natural language processing to synthesize consumer opinions into actionable and effective insights

It quantifies brand sentiment and competitive positions by categorizing consumer sentiment across key product features and attributes

It identifies quality issues and trends that drive returns and negative brand perception based on internal quality databases, including warranty claims, call center data, service recovery logs , and returns databases

How it works

Deploying Buzz Analytics is a three-step process

Product and competitor identification

Align on target products

Identify comparative competitor products using:

  • Employer identification number
  • Target product descriptions
  • Website links
  • Competitor brand names
Data collection and scrubbing

Pull star ratings and reviews from major e-commerce sites, including Amazon and Walmart, and from websites of the brand and other distributors

Clean the data set and then use AI language analysis to identify themes, sentiment scoring, and emotional intensity

Insights generation

Quantified scoring across the following leads for quick insight generation:

  • Delighters
  • Disappointers
  • Brand and SKU consumer sentiment
  • Positive to negative ratios
  • Star rating trends
  • Additional customized insights

What the output looks like

Understanding of overall brand sentiment

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Identification of key drivers for brand selection

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Sentiment analysis

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Top buzz words in a word cloud

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Here is an example of SKU-level sentiment analysis

What makes Buzz Analytics distinctive

Truly scalable

across a portfolio—can pull tens of thousands of data points

Quantitative insights

combined with qualitative richness with access to actual reviewer quotes

Rapid insights

with first view typically coming within a week

High-fidelity output

from AI with detailed refinement through human intervention when confidence score is low

Here is a client example

Buzz Analytics reshaped the merchandising process at a large retailer while reducing the cost of returns by about $12 million

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By working with us, you will have access to

Experts

Our industry and functional experts will be on the ground where and when you need them.

Helpdesk

Our helpdesk will keep doors open and commit to addressing your concerns efficiently and effectively.

Training

We offer coaching and build capabilities for your teams to deliver sustained improvements.

Implementation

We partner with you and co-create a firm path to implementation as part of the project.

Connect with us to find out more

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